Results 41 to 50 of about 127,682 (291)
A New Metaheuristic Bat-Inspired Algorithm
, 2010 Metaheuristic algorithms such as particle swarm optimization, firefly algorithm and harmony search are now becoming powerful methods for solving many tough optimization problems.
J. Kennedy +9 more
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Multiplicate Particle Swarm Optimization Algorithm
Journal of Computers, 2010 Using Particle Swarm Optimization to handle complex functions with high-dimension it has the problems of low convergence speed and sensitivity to local convergence. The convergence of particle swarm algorithm is studied, and the condition for the convergence of particle swarm algorithm is given.
Shang Gao, Zaiyue Zhang, Cungen Cao
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Control system research in wave compensation based on particle swarm optimization
Scientific Reports, 2021 For the offshore wave compensation control system, its controller setting will directly affect the platform's compensation effect. In order to study the wave compensation control system and optimization strategy, we build and simulate the wave ...
Gang Tang +3 more
doaj +1 more source
Triggered memory-based swarm optimization in dynamic environments [PDF]
This is a post-print version of this article - Copyright @ 2007 Springer-VerlagIn recent years, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems ...
D. Parrott +9 more
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A Novel Particle Swarm Optimization Algorithm for Global Optimization [PDF]
Computational Intelligence and Neuroscience, 2016 Particle Swarm Optimization (PSO) is a recently developed optimization method, which has attracted interest of researchers in various areas due to its simplicity and effectiveness, and many variants have been proposed. In this paper, a novel Particle Swarm Optimization algorithm is presented, in which the information of the best neighbor of each ...
Wang, Chun-Feng, Liu, Kui
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Generalised cellular neural networks (GCNNs) constructed using particle swarm optimisation for spatio-temporal evolutionary pattern identification [PDF]
, 2007 Particle swarm optimization (PSO) is introduced to implement a new constructive learning algorithm for training generalized cellular neural networks (GCNNs) for the identification of spatio-temporal evolutionary (STE) systems.
Billings, S.A., Wei, H.L.
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A Multi-Swarm Cellular PSO based on Clonal Selection Algorithm in Dynamic Environments
, 2012 Many real-world problems are dynamic optimization problems. In this case, the optima in the environment change dynamically. Therefore, traditional optimization algorithms disable to track and find optima.
Meybodi, Mohammd Reza +2 more
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Cuckoo Search via Levy Flights [PDF]
, 2009 In this paper, we intend to formulate a new metaheuristic algorithm, called Cuckoo Search (CS), for solving optimization problems. This algorithm is based on the obligate brood parasitic behaviour of some cuckoo species in combination with the Levy ...
Deb, Suash, Yang, Xin-She
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Molecular Oncology, EarlyView.Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source
Using intelligent optimization methods to improve the group method of data handling in time series prediction [PDF]
, 2008 In this paper we show how the performance of the basic algorithm of the Group Method of Data Handling (GMDH) can be improved using Genetic Algorithms (GA) and Particle Swarm Optimization (PSO).
A. Episcopos +7 more
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